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arXiv 2402.06368cs.ITeess.SPmath.IT
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自适应近场与远场下行链路定位及用户跟踪:权衡分析

Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi, Gábor Fodor

AI总结:

本文针对混合近场与远场环境下的下行链路定位与用户跟踪问题,提出自适应信令方案及低复杂度算法,并分析精度-复杂度权衡,发现传统夫琅禾费距离不足。

摘要:

本文考虑了在距离范围变化的情况下,采用自适应过程进行下行链路定位和用户设备(UEs)跟踪的问题。我们为基站(BS)提供了两种信令方案,并为用户设备提供了两种定位算法,分别假设远场(FF)和近场(NF)条件。所提出的方案采用不同的波束扫描模式,其兼容性取决于用户设备的距离范围。因此,FF-NF的区分超越了传统定义。我们提出的NF方案需要对特定位置进行波束聚焦,并且扫描该区域需要更多的传输。相反,FF方案假设用户设备距离较远,较少的波束就足够了。我们推导了一种利用FF信道模型的低复杂度算法,并强调了其实际优势和局限性。此外,我们提出了一种迭代自适应过程,其中信令方案取决于预期的精度-复杂度权衡。多次迭代引入了跟踪应用,其中形成的轨迹决定了我们假设的有效性。此外,我们研究了从基站开始的距离范围,在该范围内可以成功采用FF信令方案。我们表明,在混合NF和FF环境中,传统的夫琅禾费距离对于自适应定位和跟踪算法是不够的。

英文摘要:

This paper considers the problem of downlink localization and user equipments (UEs) tracking with an adaptive procedure for a range of distances. We provide the base station (BS) with two signaling schemes and the UEs with two localization algorithms, assuming far-field (FF) and near-field (NF) conditions, respectively. The proposed schemes employ different beam-sweep patterns, where their compatibility depends on the UE range. Consequently, the FF-NF distinction transcends the traditional definition. Our proposed NF scheme requires beam-focusing on specific spots and more transmissions are required to sweep the area. Instead, the FF scheme assumes distant UEs, and fewer beams are sufficient. We derive a low-complexity algorithm that exploits the FF channel model and highlight its practical benefits and the limitations. Also, we propose an iterative adaptive procedure, where the signaling scheme is depends on the expected accuracy-complexity trade-off. Multiple iterations introduce a tracking application, where the formed trajectory dictates the validity of our assumptions. Moreover, the range from the BS, where the FF signaling scheme can be successfully employed, is investigated. We show that the conventional Fraunhofer distance is not sufficient for adaptive localization and tracking algorithms in the mixed NF and FF environment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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